Logaritmic Fuzzy Preference Programming Approach for Evaluating University Ranking Optimization
Abstract: Assesing quality
university’s website trough webometrics is becoming one of many measures in
World Class University. To get good grades, so that it can compete with other
universities in the world, it needs to be pursued strategies based on the
achievement of the perspective of cost (expenses) and the condition of the
availability and readiness of human resource (HR owned) by the institution.
Webometrics ranking optimization tailored to the institutional capacity is
absolutely necessary, in order to achieve the expected goals effectively and
fuel-efficient. Therefore, this paper discussed the application of the
Analytical Hierarchy Process with Logarithmic Fuzzy Preference Programming
combination proved to covered of the methods FPP on the university web ranking
optimization. From the results of sub-criteria weighting based on the
perspective of cost and human resources, earned the highest ranking among other
factors recommended monitoring the ranking of sites ahrefs (C332) and
majesticseo (C331) as well as increasing the number of links from other
websites (C321).
Keywords: World Class
University, Webometrics, Analytical Hierarchy Process, Logarithmic Fuzzy
Preference Programming
Penulis: Tenia Wahyuningrum,
Ridwan Pandiya
Kode Jurnal: jptinformatikadd170140
